Employment Data Analysis based on Python Crawler Technology

Authors

  • Li Li

DOI:

https://doi.org/10.54691/bcpssh.v14i.187

Keywords:

Python; Crawler; Employment; Data Analysis.

Abstract

With the explosive growth of network information and the advent of the era of big data, it is of great significance to analyze and process employment data by using web crawler technology. This article takes Lagou.com as an example, uses crawler technology to collect data on the basis of Python and MySQL, and analyzes the collected employment data in various aspects, and uses these data analysis results to help college students in their employment and career planning. Provide reference basis, provide objective reference.

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References

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Xing Li, Wu Maonian. Design and Application of Recruitment Theme Crawler [J]. Computer Knowledge and Technology, 2018, 14(25): 73-75.

Zheng Dingchao, Ma Shaoqiu. Research and Design of Web Crawler [J]. Computer Knowledge and Technology, 2018, 14(25): 43-45.

Yang Guozhi, Jiang Yefeng. Design and implementation of data collection system for focused web crawlers based on Python [J]. Science and Technology Innovation, 2018(27): 73-75.

Chen Le. Web crawler technology based on Python[J]. Electronic World, 2018 (16): 163-165.

Tian Xiaoling, Fang Yuan, Jia Minzheng, etc. Keyword web crawler design based on data analysis[J]. Journal of Beijing Polytechnic Institute, 2018, 4(17): 38-45.

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Published

2021-12-17

How to Cite

Li, L. (2021). Employment Data Analysis based on Python Crawler Technology. BCP Social Sciences & Humanities, 14, 163–167. https://doi.org/10.54691/bcpssh.v14i.187